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Challenging cases in diagnostic clinical microbiology : advanced strategies and techniques / James J. Dunn, Marc Roger Couturier, Audrey N. Schuetz (editor)
Cham : Springer, 2024
252 pages. : illustrations (chiefly color) ; cm.
Ký hiệu phân loại (DDC): 616.9041
This book aims to communicate, educate and inform readers about important facts and new information related to the practice of clinical microbiology and how laboratory testing can be used to provide data impactful to diagnose, treat and manage patients with infectious diseases. This information is important for individual patient outcomes as well as general public health. The book will provide real world examples of how infectious disease diagnostic tests are applied to algorithms to guide the differential diagnosis and facilitate the diagnosis and treatment of patients. Each section of cases based on the type of organisms involved will be preceded by a discussion of the laboratory methods routinely used to diagnose those types of infections. Most importantly, each illustrated case will be structured to include details of the clinical presentation, differential diagnosis, relevant laboratory findings, pathogen identified, and a brief review of other potential etiologies for the clinical syndrome described. The field of clinical microbiology has evolved considerably over the last couple of decades and the technological advances continue to come at a rapid pace. By incorporating these advancements into the clinical cases, readers will gain a greater understanding of the intricacies and nuances of the performance and utility of these newer tests, as well as how the results should be interpreted for various patient populations. Readers will acquire a wide breadth of knowledge through comprehensive reading of these cases and will benefit greatly from increased familiarity with the practice of clinical infectious disease diagnostics. Envisioned as an instructional text for those already practicing in or training in the field of clinical microbiology, this book will serve clinical pathologists, clinical microbiologists, allied healthcare professionals and physicians, as well as medical students, clinical laboratory scientists and trainees, medical residents, and infectious disease and microbiology fellows. It will be a tool to learn about and enhance skills in the discipline through presentation and discussion of cases and methods. While trainees such as medical students, residents, and fellows will benefit by thinking about the whole process from patient to lab to appropriate treatment- following the structure of board exams- those already in the field will broaden their knowledge base with information on the most up-to-date testing methods and algorithms used in the clinical microbiology lab
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Essentials of Medical Microbiology / Apurba S. Sastry, Sandhya Bhat
Delhi : Jaypee Brothers Medical Publishers, 2023
1615 pages. ; cm.
Ký hiệu phân loại (DDC): 616.9
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The role of pharmacokinetics/pharmacodynamics in setting clinical MIC breakpoints: The EUCAST approach, Clinical Microbiology and Infection / Mouton JW et al.
Basel : European Society of Clinical Microbiology and Infectious Diseases.
p ; cm.
Ký hiệu phân loại (DDC): 615.7
Clinical breakpoints are used in clinical microbiology laboratories to categorize microorganisms as clinically susceptible (S), intermediate (I) or resistant (R) dependent on the quantitative antimicrobial susceptibility as indicated by the MIC value determined in a well-defined standard test system. The laboratory report, with the designations of S, I or R for each antimicrobial agent, provides guidance to clinicians with respect to the potential use of agents in the treatment of patients, and clinical breakpoints should therefore distinguish between patients that are likely or unlikely to respond to antimicrobial treatment. In Europe, clinical breakpoints are set by the European Committee on Antimicrobial Susceptibility Testing (EUCAST), following a defined procedure. This includes evaluation of efficacy in experimental settings and clinical studies to derive pharmacodynamic targets such as the fAUC/MIC ratio or %fT > MIC required for efficacy, the pharmacokinetic properties of the agent, Monte Carlo simulations to estimate exposures of the antimicrobial agent in the target patient population and commonly used dosing regimens
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